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Exploratory Data Analysis (EDA) of Coffee Shop Sales using Python

A Flutter app to display products ,manage orders and sales of a coffee shop.

This project presents an interactive Coffee Sales Dashboard built using Python to analyze and visualize sales data from a coffee shop. The dashboard provides clear insights into product performance, customer preferences, and revenue trends.

This project provides a comprehensive analysis of coffee shop sales data, focusing on customer purchasing patterns, product performance, and revenue generation over a specified time period. Developed using Microsoft Excel

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Analyzing sales data from a coffee shop reveals valuable insights into purchasing trends and product performance. The study includes visualizations that depict sales patterns across different product categories, product types, and income generation.

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Power BI dashboard for coffee shop sales analysis with KPIs, product insights, store performance, and trends.

The Coffee Shop Sales Project incorporates 2 major skills - SQL and Power-BI to retrieve relevant data from the a large database using SQL, and visualize the data with the help of Power BI as per the KPIs and necessary business requirements.

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This project provides an in-depth analysis of coffee sales data using SQL to extract insights on sales performance, customer trends, and product preferences. The analysis includes key metrics such as total sales, regional sales distribution, and customer behavior.

Project Overview: This project focuses on analyzing and visualizing coffee shop sales data through an interactive Power BI dashboard. The dashboard helps uncover key insights such as total sales, orders, product performance, and trends over time.

km-feb24-medan-19 created by GitHub Classroom | Front-End Source Code of Coffee Shop Sales - RevoU's Software Engineering Capstone Project

Coffee Shop Sales Analysis Dashboard built in Microsoft Excel using Power Query, Pivot Tables, and Visualizations. This project uncovers insights from real-world coffee shop data including peak hours, sales distribution, top-selling products, store footfall, and more

Interactive coffee shop sales dashboard built with Power BI for data analysis & visualization.

Interactive coffee shop sales dashboard built with Power BI for data analysis & visualization.

Coffee Shop Cashiering System involves the development of a web-based application using PHP and MySQL Database. This project provides an automated platform for businesses that serve coffee, such as coffee shops, so that those businesses may handle their daily sales transactions in a more efficient and productive manner.

The Monday Coffee Expansion Analysis project utilizes SQL to analyze sales data and identify the top three cities in India for opening new coffee shop locations. By leveraging database queries, the project provides data-driven insights to support business expansion decisions. This analysis helps increase profitability for Monday Coffee. 🚀

This dashboard provides insights into coffee shop sales, highlighting top-selling products, peak order hours, store performance, and customer preferences. It features key metrics like total transactions, average orders, and category distribution for data-driven decisions.

Comprehensive analysis of coffee shop sales utilizing Pandas for data cleaning and exploratory data analysis (EDA), complemented by Streamlit for creating interactive data visualization dashboards.

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This project analyzes coffee shop sales data using Excel pivot tables to summarize and visualize key metrics like total sales, product popularity, and peak sales periods. It enables quick insights into sales performance and customer preferences. The analysis helps in making informed business decisions.

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